Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "38"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 38 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 32 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 38, Node N03:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459849 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.799373 0.702284 0.443676 2.059142 1.861285 3.961868 8.675206 2.898639 0.7582 0.7634 0.3595 3.479952 3.009874
2459848 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459847 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.379226 1.269572 0.930400 -0.007562 0.550849 0.659661 5.753758 1.332855 0.7426 0.7042 0.4312 2.959447 2.752966
2459846 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.113183 -0.407104 0.556215 -0.817161 5.389748 2.329747 3.851333 2.705202 0.8477 0.6976 0.4782 3.063728 2.802405
2459845 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.329092 1.568385 2.889708 -0.105851 1.966792 5.820669 5.632367 0.966648 0.7436 0.7662 0.3794 2.607421 1.758962
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - 33.598483 26.827054 26.313814 21.052163 6.395518 13.537154 16.880338 13.344823 0.0217 0.0218 0.0003 nan nan
2459843 digital_ok 100.00% 0.66% 0.66% 0.00% 100.00% 0.00% 0.606379 0.621394 -0.850330 0.165027 2.371109 3.827660 5.178083 2.350239 0.7569 0.7635 0.3859 3.755380 3.570210
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 72.364929 53.992115 15.971979 13.783817 6.888480 6.288886 15.390992 17.117067 0.0195 0.0195 0.0004 nan nan
2459839 digital_ok 100.00% - - - - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459838 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.403593 -0.001784 -0.618555 -0.861529 3.844938 3.891906 5.154526 2.453812 0.7644 0.7115 0.4027 4.040147 3.918143
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0304 0.0325 0.0012 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - -0.198331 0.792989 2.227135 -0.540975 0.828671 3.448771 4.812982 5.908732 0.0299 0.0317 0.0013 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 9.094934 7.150544 7.289582 5.910833 4.202800 9.193622 17.801801 13.509176 0.0235 0.0245 0.0010 nan nan
2459832 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.245414 -1.000321 -1.074770 -1.048223 0.671174 1.725500 6.790422 2.467953 0.8137 0.5380 0.5848 3.404227 2.975303
2459831 digital_ok 100.00% 100.00% 100.00% 0.00% - - 19.144488 14.468216 41.231880 36.192899 2.758228 2.913445 14.857469 16.101935 0.0203 0.0211 0.0007 nan nan
2459830 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.239417 -0.733294 -1.059449 -0.970895 -0.917035 1.482736 13.163688 4.296425 0.8123 0.5445 0.5693 4.756569 4.020355
2459829 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.227257 0.195695 0.083633 -0.367059 2.939268 6.348236 13.930166 6.758382 0.7665 0.6697 0.4172 26.316628 20.846894
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.427979 -0.386898 -0.127629 -0.171086 1.031998 0.374083 18.271422 6.967025 0.8091 0.5550 0.5499 9.227733 5.048105
2459827 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.168769 0.332276 -0.357227 -0.798324 1.257173 1.545288 3.375329 0.215773 0.7728 0.6766 0.4193 1.289280 1.099029
2459826 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.075708 -0.099563 -0.712038 -0.642800 0.141242 -0.177535 12.620605 5.202848 0.8053 0.5736 0.5259 5.092489 3.795976
2459825 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.502762 -0.464763 -0.792256 -0.997484 -0.409965 -0.130643 1.266487 -0.418722 0.8046 0.5798 0.5306 1.936104 1.557436
2459824 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.017268 0.452779 -0.495476 -0.602130 1.735420 -0.659548 8.192355 2.225654 0.7442 0.7348 0.3734 5.743864 5.020216
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.809851 0.235825 -0.747559 -0.803592 0.595494 -0.850315 15.113180 3.026386 0.7762 0.6428 0.4712 4.659817 3.748822
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.264367 -0.182592 -0.524840 -0.929635 -0.666462 -0.085250 1.640274 -0.080973 0.8040 0.6087 0.5121 1.956836 1.604652
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.879891 -0.455605 -0.455033 -0.839233 -0.018965 -0.217891 -0.362299 -0.453632 0.8006 0.6290 0.5120 1.771450 1.530341
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.415607 0.148982 -0.137384 0.085826 4.995233 19.340428 9.232270 3.371561 0.7885 0.7042 0.4115 4.020507 4.086784
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.823571 -0.372517 -0.343165 -0.963659 -0.452557 -0.892756 2.016052 0.553102 0.8147 0.6738 0.5017 1.849881 1.685865
2459816 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.870867 -0.205724 -1.048194 -1.147589 0.368523 2.739605 15.107424 3.377757 0.8477 0.6070 0.5925 3.680652 3.427036
2459815 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.721426 -0.249628 -0.928753 -1.112368 1.078228 0.404074 11.868679 3.426192 0.8061 0.6817 0.5082 3.286512 2.950392
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.052520 0.816624 -0.206922 -0.407178 6.397065 9.583014 12.471527 4.725827 0.8087 0.7459 0.3798 11.091749 11.944633

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 38: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 8.675206 0.799373 0.702284 0.443676 2.059142 1.861285 3.961868 8.675206 2.898639

Antenna 38: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 38: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 5.753758 1.269572 0.379226 -0.007562 0.930400 0.659661 0.550849 1.332855 5.753758

Antenna 38: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Variability 5.389748 1.113183 -0.407104 0.556215 -0.817161 5.389748 2.329747 3.851333 2.705202

Antenna 38: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok nn Temporal Variability 5.820669 1.568385 1.329092 -0.105851 2.889708 5.820669 1.966792 0.966648 5.632367

Antenna 38: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Shape 33.598483 33.598483 26.827054 26.313814 21.052163 6.395518 13.537154 16.880338 13.344823

Antenna 38: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 5.178083 0.621394 0.606379 0.165027 -0.850330 3.827660 2.371109 2.350239 5.178083

Antenna 38: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Shape 72.364929 72.364929 53.992115 15.971979 13.783817 6.888480 6.288886 15.390992 17.117067

Antenna 38: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 38: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 5.154526 -0.001784 0.403593 -0.861529 -0.618555 3.891906 3.844938 2.453812 5.154526

Antenna 38: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok nn Temporal Discontinuties 5.908732 0.792989 -0.198331 -0.540975 2.227135 3.448771 0.828671 5.908732 4.812982

Antenna 38: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 17.801801 7.150544 9.094934 5.910833 7.289582 9.193622 4.202800 13.509176 17.801801

Antenna 38: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 6.790422 0.245414 -1.000321 -1.074770 -1.048223 0.671174 1.725500 6.790422 2.467953

Antenna 38: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Power 41.231880 19.144488 14.468216 41.231880 36.192899 2.758228 2.913445 14.857469 16.101935

Antenna 38: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 13.163688 1.239417 -0.733294 -1.059449 -0.970895 -0.917035 1.482736 13.163688 4.296425

Antenna 38: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 13.930166 0.195695 2.227257 -0.367059 0.083633 6.348236 2.939268 6.758382 13.930166

Antenna 38: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 18.271422 -0.386898 1.427979 -0.171086 -0.127629 0.374083 1.031998 6.967025 18.271422

Antenna 38: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 3.375329 1.168769 0.332276 -0.357227 -0.798324 1.257173 1.545288 3.375329 0.215773

Antenna 38: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 12.620605 -0.099563 1.075708 -0.642800 -0.712038 -0.177535 0.141242 5.202848 12.620605

Antenna 38: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 1.266487 -0.464763 0.502762 -0.997484 -0.792256 -0.130643 -0.409965 -0.418722 1.266487

Antenna 38: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 8.192355 0.017268 0.452779 -0.495476 -0.602130 1.735420 -0.659548 8.192355 2.225654

Antenna 38: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 15.113180 0.235825 0.809851 -0.803592 -0.747559 -0.850315 0.595494 3.026386 15.113180

Antenna 38: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 1.640274 1.264367 -0.182592 -0.524840 -0.929635 -0.666462 -0.085250 1.640274 -0.080973

Antenna 38: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Shape 0.879891 -0.455605 0.879891 -0.839233 -0.455033 -0.217891 -0.018965 -0.453632 -0.362299

Antenna 38: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok nn Temporal Variability 19.340428 1.415607 0.148982 -0.137384 0.085826 4.995233 19.340428 9.232270 3.371561

Antenna 38: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 2.016052 0.823571 -0.372517 -0.343165 -0.963659 -0.452557 -0.892756 2.016052 0.553102

Antenna 38: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 15.107424 -0.205724 0.870867 -1.147589 -1.048194 2.739605 0.368523 3.377757 15.107424

Antenna 38: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 11.868679 -0.249628 0.721426 -1.112368 -0.928753 0.404074 1.078228 3.426192 11.868679

Antenna 38: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 38: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
38 N03 digital_ok ee Temporal Discontinuties 12.471527 0.816624 3.052520 -0.407178 -0.206922 9.583014 6.397065 4.725827 12.471527
In [ ]: